KR102219916B1 - Workability determination System by using advanced information - Google Patents

Abstract

Provided is a system for determining whether or not work can be performed using advanced information. According to an embodiment of the present invention, the system for determining whether or not work can be performed using advanced information comprises: a data measurement device obtaining health data from a worker to determine whether or not the worker can work; a data processing device receiving and processing the health data to determine a health status of the worker; and a data storage device storing information on the worker and a reference range for determining whether or not the worker can work.

Description

Workability determination System by using advanced information

The present invention relates to a system for determining whether a worker can work using advanced information, and in particular, a system capable of inferring or guessing whether a worker is in a state of being included in the current working health state by upgrading a plurality of measurement results using a function It is about.

Industrial accident means that a worker dies, injuries, or gets sick due to work or other work related to construction, equipment, raw materials, gas, steam, dust, etc.

In order to reduce the likelihood of an occupational accident, measures such as continuing to check the health status of workers when they are put into work or while they are working, and stopping workers' work if the checked health status is not suitable for work are required.

Recently, various smart wearable devices have been developed to ensure the safety of workers in the workplace. Each wearable device performs a function to ensure the safety of workers by using sensors and control devices equipped with each device.

Data acquired through a sensor mounted on each device may be analyzed by the control device and used to determine the current state. However, as the number of acquired and analyzed data decreases, there is a problem in that the current state cannot be accurately determined.

In addition, when each device independently determines the current state, it may be determined to represent a different state, and there is a problem that it is impossible to determine a more detailed state.

Korean Patent Registration No. 10-1866677

In order to solve the problems of the prior art as described above, an embodiment of the present invention measures and acquires various data, and then processes the data to infer or guess high-level situation information to check the health status of the current worker. It is intended to provide a system for determining work availability using advanced information that can determine whether the current work is possible.

According to an aspect of the present invention for solving the above problems, a system for determining whether a work is possible using advanced information is provided. The system for determining whether a worker can work using the advanced information includes: a data measuring device that obtains health data from the worker in order to determine whether the worker can work; A data processing device that receives and processes the health data to determine the health status of the worker; And a data storage device for storing the information of the worker and a reference range for determining whether the worker can work.

The data measuring device includes: a passage health measuring unit that obtains a health measurement result of the worker when the worker passes through a passage to enter the workplace; A worker's step measurement unit for obtaining a step measurement result by measuring the step of the worker with a 3-axis acceleration sensor using a portable device carried by the worker; And a workplace environment measurement unit that obtains a result of measuring the environmental condition of the workplace in which the worker works, wherein the health data may include the health measurement result, the step measurement result, and the environmental condition measurement result. have.

The data measurement device may further include a worker determination unit for specifying the worker by the passage health measurement unit, the worker step measurement unit, and the workplace environment measurement unit.

The worker determination unit may determine and specify the worker using authentication information including image information or ID information.

The passage health measurement unit may obtain the health measurement result of the worker using a plurality of image sensors previously installed in the passage.

The worker step measurement unit may obtain the step measurement result by analyzing the three-axis acceleration sensor measurement result measured by the three-axis acceleration sensor using Equation 1 below.

Equation 1

G=(3AA _t1 -3AA _t2 ), 3AA _t =

(G: step recognition information between t1 and t2, 3AA _t : 3-axis acceleration sensor measurement value at time t, x: x-axis acceleration, y: y-axis acceleration, z: z-axis acceleration)

The workplace environment measurement unit may acquire at least one of a risk level, a work intensity, humidity, temperature, and a work type of the workplace as a preset value.

The data processing apparatus includes: a data conversion unit receiving the health data and applying a weight to each measurement result to generate a basic probability allocation function; A data inference unit that normalizes the basic probability allocation function and obtains a health state probability by using the normalized result; And a health state determination unit that determines a current health state of the worker by using the health state possibility.

The data conversion unit may generate the basic allocation function using Equation 2 below.

Equation 2

AEP weight =

GA2 weight =

AE weight =

(AEP: health measurement result, GA2: step measurement result, AE: environmental condition measurement result, n: number of sensors)

The data inference unit may acquire the possibility of the health state by using the D-S evidence theory (Dempster-Shafer evidence theory).

The health state determination unit may check which part of the reference range the health state possibility is included in a predetermined portion of the reference range and determine the health state within the range including the health state possibility as the current health state of the worker.

The data storage device includes: a worker information storage unit for storing information of each of the workers to identify and identify the worker; and a health state for storing a preset range of health conditions to provide the reference range to the health status determination unit. It may include a state range storage unit.

The worker information storage unit registers the authentication information such as the face or ID information of each worker and recognizes the first step information for each worker using a plurality of image sensors or 3-axis acceleration sensors to generate step registration information. And matching the authentication information with the step registration information after storing, thereby storing step registration information for each worker.

The system for determining whether work is possible using advanced information according to an embodiment of the present invention has an effect of having a higher accuracy because the health status of the worker is inferred by fusion of data acquired using different types of sensors.

In addition, the system for determining whether work is possible using advanced information according to an embodiment of the present invention has an effect that can be used as a supplement to an error or malfunction of a single sensor.

In addition, the system for determining whether work is possible using advanced information according to an embodiment of the present invention, when a worker's health status is a status in which the work cannot be performed, can be removed from the field and protected, and the health status is not good. In case of doubt, it can be closely detected and observed at the work site, which has the effect of preventing the occurrence of industrial accidents.

1 is a conceptual diagram of a system for determining work availability using advanced information according to an embodiment of the present invention.
2 is a diagram schematically showing a system for determining work availability using advanced information according to an embodiment of the present invention.
3 is a block diagram showing the configuration of a system for determining work availability using advanced information according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement the present invention. The present invention may be implemented in various different forms, and is not limited to the embodiments described herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and the same reference numerals are assigned to the same or similar components throughout the specification.

1 is a conceptual diagram of a system for determining whether work is possible using advanced information according to an embodiment of the present invention, and FIG. 2 is a schematic diagram showing a system for determining whether a work is possible using advanced information according to an embodiment of the present invention. Is a block diagram showing the configuration of a system for determining work availability using advanced information according to an embodiment of the present invention. Hereinafter, a system for determining work availability using advanced information according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 3.

Referring to FIG. 1, a system 100 for determining whether a work is possible using advanced information according to an embodiment of the present invention is formed to obtain information through various sensors.

The system 100 for determining whether work is possible using the advanced information of the present invention may obtain information from a worker in a passage moving to a workplace through a passage installation sensor as illustrated in FIG. 1.

In addition, the system 100 for determining whether work is possible using advanced information may obtain information from the body of the worker using a human body detection sensor included in a portable device or a wearable device carried by the worker, and the environment installed at the workplace. It is also possible to obtain information related to the workplace environment by using the detection sensor.

Subsequently, the acquired information is each processed using a preset logic, and the system 100 for determining work availability using advanced information according to an embodiment of the present invention combines the processed information to infer the health status of the current worker or By guessing, you can determine whether a worker can work.

To this end, the system 100 for determining whether work is possible using advanced information according to an embodiment of the present invention includes a data measuring device 210, a data processing device 220, and a data storage device 230 as shown in FIG. Can be formed.

FIG. 2 is a diagram schematically illustrating a system for determining work availability and an operation process of the system using advanced information according to an embodiment of the present invention.

The data measurement device 210 acquires a health measurement result, a step measurement result, and an environmental condition measurement result as health data, and specifies a worker. Here, specifying a worker means that information on each worker can be independently obtained by acquiring the health measurement result and the step measurement result from a specific worker and the environmental condition measurement result of the workplace where the worker works. .

Thereafter, the health data for each worker measured by the data measuring device 210 is transmitted to the data processing device 220. The data processing device 220 acquires a Basic Probability Assignment (BPA) value by converting the received health data. BPA may be obtained through a Basic Probability Assignment Function.

In this case, the basic probability allocation function used in the present invention may be expressed by Equation 2 to be described later. However, the present invention is not limited thereto, and functions having different weights may be used according to expert opinions, machine learning, and correlation weights.

After obtaining the BPA from each data, the data processing device 220 may determine the health status of a corresponding worker by combining the obtained BPA. For this, the data processing device 220 may use the D-S evidence theory (Dempster-Shafer evidence theory), which will be described later.

Meanwhile, the data storage device 230 may be provided to store worker information and health status determination criteria so that the data measurement device 210 and the data processing device 220 can obtain and use the corresponding information.

3 is a block diagram of a system 100 for determining work availability using information enhancement according to an embodiment of the present invention, and FIG. 3A is a detailed block diagram of a data measuring device, and FIG. 3B is a detailed block diagram of a data processing device. It is a block diagram, and FIG. 3C is a detailed block diagram of a data storage device.

The data measurement device 210 of the system 100 for determining whether a worker can work using advanced information according to an embodiment of the present invention acquires health data from the worker in order to determine whether the worker can work.

To this end, the data measurement device 210 is formed to include a passage health measurement unit 311, a worker step measurement unit 312, and a workplace environment measurement unit 313.

Here, the health data includes a health measurement result generated by the passage health measurement unit 311, a walking measurement result generated by the worker walking measurement unit 312, and an environmental condition measurement result generated by the workplace environment measurement unit 313 can do.

The passage health measurement unit 311 is provided to measure the health condition of the worker when the worker passes the passage. The passage health measurement unit 311 measures the state of the worker and obtains a health measurement result.

To this end, the passage health measurement unit 311 may include a plurality of image sensors pre-installed in the passage to obtain the step image information of the worker. In addition, the passage health measurement unit 311 may preferably be installed and provided in the workplace entrance passage and the working area change passage.

The passage health measurement unit 311 may photograph a step that a worker passes through a corresponding passage using a plurality of image sensors, and obtain this photographing information as a health measurement result.

In addition, the passage health measurement unit 311 may analyze photographing information photographed using a plurality of image sensors for each frame to generate 3-axis acceleration information, and obtain the generated 3-axis acceleration information as a health measurement result.

That is, the health measurement result generated by the passage health measurement unit 311 may be formed as image information or numeric information according to a user's setting.

The worker's step measurement unit 312 is provided to obtain a step measurement result by measuring a worker's step with a 3-axis acceleration sensor using a portable device carried by the worker or a wearable device worn by the worker.

The worker's step measurement unit 312 receives and analyzes the measurement result of the 3-axis acceleration sensor built into the portable device or wearable device, and generates a step measurement result as the analysis result.

In this case, the worker's step measurement unit 312 may generate a step measurement result by analyzing the measurement result of the 3-axis acceleration sensor using Equation 1 below.

Equation 1

G=(3AA _t1 -3AA _t2 ), 3AA _t =

Where G is the step recognition information between _{time t 1} and t _{2 , 3AA t} is the measurement value of the 3-axis acceleration sensor at time t, and x, y and z are the x-axis acceleration, y-axis acceleration, and z-axis acceleration, respectively. to be.

In the present description, it has been described that the worker's step measurement unit 312 uses Equation 1 to generate the step measurement result, but the present invention is not limited thereto, and the passage health measurement unit 311 is used to measure the 3-axis acceleration information. It can also be used to obtain measurement results.

The workplace environment measurement unit 313 is provided to obtain a result of measuring the environmental condition of the workplace in which the worker works. The workplace where workers work will have various environments depending on the type of work.

For example, in the case of a frozen warehouse, the temperature of the workplace may be set very low, and in the case of a laboratory where environmental control is essential to obtain a uniform experimental result, it may be necessary to maintain a constant temperature and humidity for the experiment.

In addition, in the case of a workplace where work such as welding is performed, the risk of an accident is higher than that of an office, and in the case of a high-rise building construction site, there may be a risk of falling or falling.

Therefore, since these various environments must be recognized as one variable that can affect the health of the worker, the workplace environment measurement unit 313 can affect the health of the worker such as the risk of the workplace, work intensity, humidity, temperature, and type of work. Various variables that can have an effect can be acquired as preset values and generated as a result of measuring environmental conditions.

Meanwhile, the data measuring apparatus 210 according to an embodiment of the present invention may further include a worker determination unit 314. The worker determination unit 314 is formed to specify a worker. The worker determination unit 314 is provided to specify each worker who has provided the health measurement result, the step measurement result, and the environmental state measurement result.

That is, the worker determination unit 314 may specify a worker who has provided the health measurement result to the passage health measurement unit 311 to independently generate the health measurement result for each worker, and step to the worker step measurement unit 312 By specifying the worker who provided the measurement result, the step measurement result can be independently generated for each worker, and the workplace environment measurement unit 313 independently works for each worker by checking which workplace is located independently for each worker. Intestinal environmental condition measurement results can be generated.

To this end, the worker determination unit 314 may determine a worker using authentication information including image information or ID information. That is, when the image sensor is provided in each of the measurement units 311 to 313, the worker determination unit 314 receives the image information from the image sensor and uses the worker information stored in the data storage device 230 to be described later to the corresponding worker. May be determined by specifying and determining the corresponding worker by recognizing different ID information provided for each worker previously stored in a portable device carried by the worker or a wearable device worn by the worker.

Next, in an embodiment of the present invention, the data processing device 220 receives and processes the health data to determine the health status of the worker, the data conversion unit 321, the data inference unit 322, and the health status determination unit. It is formed to include 323.

The data conversion unit 321 is provided to receive health data from the data measurement device 210 and perform probability assignment to each measurement result to generate a basic probability assignment function.

The basic probability allocation function is data obtained by converting health data into a form that can be used in the data inference unit 322 to be described later. The data inference unit 322 described later is provided to mathematically represent the ambiguity of the real world that could not be expressed by conventional mathematics, and for this, the health data must be converted into a form that can be processed by the data inference unit 322.

Therefore, for this purpose, the data conversion unit 321 may convert the health data into a basic probability allocation function by applying a weight expressed by Equation 2 below to the acquired health data.

Equation 2

AEP weight =

GA2 weight =

AE weight =

(AEP: health measurement result, GA2: step measurement result, AE: environmental condition measurement result, n: number of sensors)

That is, each health data is converted into a basic probability allocation function by applying a weight of each health data generated through Equation 2 above.

Meanwhile, in the present invention, the weight applied to each health data is limited to be expressed by Equation 2 above, but this is only an example of the present invention, and weights applied to each health data using machine learning In order to use the individual's condition as more important data, the weight of the sensor worn by the individual can be set higher than the environmental condition measurement result.

Next, the data inference unit 322 normalizes the basic probability allocation function, and obtains a health state possibility using the normalized result. In this case, the data inference unit 322 may obtain the possibility of a health state using, for example, a D-S evidence theory (Dempster-Shafer evidence theory).

The D-S Evidence Theory is one of the probability theories with upper and lower bounds, and offers many advantages over traditional Bayesian deterministic theory. In particular, this D-S evidence theory can provide improved performance compared to existing methods by applying face recognition, statistical classification, target identification, image synthesis, and image analysis.

The D-S Evidence Theory has a strong advantage in that it can quantify the uncertainty of an ambiguous state by combining them based on information or probability obtained from specific evidences. Using a combination of these pieces of information, the D-S Evidence Theory can reach the same conclusion, and it also has the advantage of removing contradictory information by quantifying it.

In simple terms, the D-S evidence theory generates new probabilities based on probabilities obtained from multiple pieces of evidence, and performs an orthogonal sum for this. This allows the D-S evidence theory to be normalized by removing the probability of an ambiguous state.

Since the D-S evidence theory has been introduced in more detail through various papers, in the present invention, only the features and advantages of the D-S evidence theory have been described.

In order to use the D-S evidence theory, the data acquisition unit 322 may generate a set of elements of interest represented by Equation 3 below by using a weighted basic probability assignment function.

Equation 3

, B_aep, B_GA2, B_ae, B_aep·B_GA2, B_aep·B_ae, B_GA2·B_ae, B_aep·B_GA2·B_ae} = {F ₁ , F ₂ , F ₃ , F ₄ , F ₅ , F ₆ , F ₇ , F ₈ }F={

, B _aep , B _GA2 , B _ae , B _aep· B _GA2 , B _aep· B _ae , B _GA2· B _ae , B _aep· B _GA2· B _ae } = { F ₁ , F ₂ , F ₃ , F ₄ , F ₅ , F ₆ , F ₇ , F ₈ }

(F: set of elements of interest, B _aep : basic probability assignment function for health measurement result, B _GA2 : basic probability assignment function for step measurement result, B _ae : basic probability assignment function for environmental condition measurement result)

Thereafter, the data acquisition unit 322 may acquire a health state probability m(B) by using a combination rule expressed by Equation 4 below.

Equation 4

The possibility of a health state acquired by the data acquisition unit 322 using Equation 4 is transmitted to the health state determination unit 323 to be described later.

The health state determination unit 323 is provided to determine the current health state of the worker using the health state possibility. The health state determination unit 323 checks which range of the predetermined health state range is included in the health state possibility, and determines a health state corresponding to the range including the health state possibility as the current health state of the worker.

To this end, the health state determination unit 323 receives the possibility of a health state from the data acquisition unit 322 as described above, and receives a preset health state range from the data storage device 230 to be described later.

In one embodiment of the present invention, the preset health state range may be formed into a first region (0 or more and 0.5 or less), a second region (more than 0.5 and 0.7 or less), and a third region (0.7 or more and 1.0 or less). In this case, when the possibility of a health state is included in the first area, the health state determination unit 323 may determine that the corresponding worker is in a health state in which work is currently impossible.

In addition, when the second area includes the possibility of a health condition, the health status determination unit 323 may determine that the health status of the worker is a state of attention requiring observation, and the third area includes the possibility of a health status. If so, the health state determination unit 323 may determine that the health state of the corresponding worker is a health state capable of working sufficiently.

However, the present invention is not limited thereto, and the reference range may be changed according to a user's setting.

Finally, the data storage device 230 is provided to store the information of the worker and a reference range for determining whether the worker can work. To this end, the data storage device 230 may be formed to include a worker information storage unit 331 and a health status range storage unit 332.

The worker information storage unit 331 is formed to store information of each worker in order to distinguish and recognize the worker.

To this end, the worker information storage unit 331 registers and stores authentication information such as each worker's face or ID information, and recognizes and stores the first step information for each worker using a plurality of image sensors or 3-axis acceleration sensors. Create and save registration information.

In addition, the worker information storage unit 331 may separate and store step registration information for each worker by matching and storing the authentication information and the step registration information with the same worker.

The health state range storage unit 332 may store a preset health state range to provide a reference range to the health state determination unit. At this time, the preset health state range stored is provided to the above-described data determination unit 323, so that the system 100 for determining whether a worker can work using advanced information according to an embodiment of the present invention determines whether a worker can work. Can be used.

In the present invention, it has been described that only three types of health data are obtained for convenience of explanation, but the present invention is not limited thereto, and more types of health data are used to determine whether or not more sensitive and accurate work is possible according to the user's request or setting. Data can be acquired and used.

In addition, in this case, if the sensor type increases to a certain level or more, computational complexity and processing time may increase. Therefore, related sensors are grouped and each group first undergoes the above-described data processing process. Afterwards, the above-described data processing and determination process may be further performed using the results of each group.

Although an embodiment of the present invention has been described above, the spirit of the present invention is not limited to the embodiment presented in the present specification, and those skilled in the art who understand the spirit of the present invention can add components within the scope of the same idea. It will be possible to easily propose other embodiments by changing, deleting, adding, etc., but it will be said that this is also within the scope of the present invention.

100: System for determining work availability using advanced information
210: data measuring device 220: data processing device
230: data storage device 311: passage health measurement unit
312: worker step measurement unit 323: worker environment measurement unit
314: worker determination unit 321: data conversion unit
322: data inference unit 323: health status determination unit
331: worker information storage unit 332: health status range storage unit

Claims (13)

A data measuring device for obtaining health data from the worker in order to determine whether the worker can work;
A data processing device that receives and processes the health data to determine the health status of the worker; And
Including; a data storage device for storing the information of the worker and a reference range for determining whether the worker can work
The data measuring device,
A passage health measuring unit that obtains a result of measuring the health of the worker when the worker passes through the passage entering the workplace;
A worker's step measurement unit for obtaining a step measurement result by measuring the step of the worker with a 3-axis acceleration sensor using a portable device carried by the worker; And
Including; a workplace environment measurement unit for obtaining a result of measuring the environmental state of the workplace in which the worker works,
The health data includes the health measurement result, the step measurement result, and the environmental state measurement result,
The data measurement device further includes a worker determination unit for specifying the worker by the passage health measurement unit, the worker step measurement unit, and the workplace environment measurement unit,
The worker determination unit determines and specifies the worker using authentication information including image information or ID information,
The passage health measurement unit acquires the health measurement result of the worker using a plurality of image sensors previously installed in the passage,
The worker step measurement unit analyzes the three-axis acceleration sensor measurement result measured by the three-axis acceleration sensor using Equation 1 below to obtain the step measurement result,
Equation 1
G=(3AA _t1 -3AA _t2 ), 3AA _t =

(G: step recognition information between t1 and t2, 3AA _t : 3-axis acceleration sensor measurement value at time t, x: x-axis acceleration, y: y-axis acceleration, z: z-axis acceleration)
The workplace environment measurement unit acquires at least one of a risk of the workplace, a work intensity, humidity, temperature, and a work type as a preset value,
The data processing device,
A data conversion unit receiving the health data and applying a weight to each measurement result to generate a basic probability allocation function;
A data inference unit that normalizes the basic probability allocation function and obtains a health state probability by using the normalized result; And
Including; a health state determination unit for determining the current health state of the worker using the health state possibility,
The data conversion unit generates a basic assignment function using Equation 2 below,
Equation 2
AEP weight =

GA2 weight =

AE weight =

(AEP: health measurement result, GA2: step measurement result, AE: environmental condition measurement result, n: number of sensors)
The data inference unit acquires the possibility of the health state using the DS evidence theory (Dempster-Shafer evidence theory),
The health state determination unit checks which part of the reference range the health state possibility is included in a preset range, and determines the health state within the range including the health state possibility as the current health state of the worker,
The data storage device,
A worker information storage unit for storing information of each of the workers for identifying and identifying the workers; And
Includes; a health state range storage unit for storing a preset health state range to provide the reference range to the health state determination unit,
The worker information storage unit registers the authentication information such as the face or ID information of each worker, and recognizes the first step information for each worker using a plurality of image sensors or 3-axis acceleration sensors to generate step registration information. And storing and matching the authentication information with the step registration information to store step registration information for each worker. delete delete delete delete delete delete delete delete delete delete delete delete

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